Management Consultant - Remote AI Evaluation
Listing checked September 16, 2026 · pay as published by Mercor
Overview
Mercor keeps an open roster of management consultants who help grade and train frontier AI models. The work draws on your own engagement history: you write case prompts from real client situations, then create the reference answers models are measured against. You also review model-generated market sizings, profitability analyses, and driver trees, checking whether the logic holds up to partner-level scrutiny. Assignments arrive on short notice, so the pool stays active whether a project starts this week or later. Rates for past projects landed between $90 and $120 per hour, set by scope and depth.
What You'll Do6
- 1Turn a past client engagement into a case prompt that includes the situation, available data, constraints, and the reference answer used to grade a model's response.
- 2Assess model-written market sizings and profitability analyses for sound segmentation, valid driver trees, and conclusions that follow from the numbers.
- 3Identify answers that look polished but would fail a partner review or a client steering committee.
- 4Explain your reasoning in writing so project teams can understand the judgment behind each score.
- 5Flag unclear or ambiguous instructions instead of guessing what a client wants.
- 6Apply consulting standards from strategy, operations, or transformation work to model evaluation tasks.
Requirements6
- 1Professional background in strategy, operations, or transformation consulting.
- 2Experience owning the analysis and the client-facing recommendation, not only slide production.
- 3Strong written communication for documenting reasoning and scoring decisions.
- 4Ability to handle ambiguous tasks and raise unclear instructions.
- 5Familiarity with management consulting methods such as market sizing, profitability analysis, or driver trees.
- 6Background from MBB, Big Four strategy arms, boutique or tier-two firms, functional specialist areas, or in-house strategy and corporate development.
Who Should Apply
Candidates who have run strategy, operations, or transformation engagements and can defend their recommendations in writing fit this pool well. The strongest matches come from MBB, Big Four strategy teams, boutique firms, pricing or post-merger integration roles, and internal strategy groups where you owned the analysis rather than only the deck. This work is less suitable for consultants who prefer live client management, slide design, or verbal brainstorming over detailed written evaluation. A common reason applicants score low is showing slide production experience without evidence of owning the underlying analysis or the final recommendation. Another is failing to demonstrate comfort with vague prompts; the role asks you to flag unclear instructions instead of forcing an answer.
Salary Insight
Past projects paid between $90 and $120 per hour. That range fits senior independent consultants with direct strategy or operations experience, and the exact rate depends on project scope and depth. Expect the final number to appear on the specific project listing, not on this standing pool listing.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$90–$120/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits above that range.
Based on 540 similar roles that publish pay · 92 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 633
- Listed in last 30 days
- 288
- Remote
- 97%
Hiring most right now: micro1 (271) · Mercor (89) · Turing (65)
Most requested skills · share of roles
- python16%
- technical writing8%
- llm evaluation7%
- data annotation7%
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Compensation
$90–120/hr
Required Skills
Application Tip
In your resume or interview, name one engagement where you owned the analysis and the client-facing recommendation, then describe the market sizing, profitability model, or driver tree you built. Quantify the outcome and explain how you handled ambiguity, since those details map to the grading and case-prompt work.
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